test_k_means.py 文件源码

def test_minibatch_with_many_reassignments():
    # Test for the case that the number of clusters to reassign is bigger
    # than the batch_size
    n_samples = 550
    rnd = np.random.RandomState(42)
    X = rnd.uniform(size=(n_samples, 10))
    # Check that the fit works if n_clusters is bigger than the batch_size.
    # Run the test with 550 clusters and 550 samples, because it turned out
    # that this values ensure that the number of clusters to reassign
    # is always bigger than the batch_size
    n_clusters = 550
    MiniBatchKMeans(n_clusters=n_clusters,
                    batch_size=100,
                    init_size=n_samples,
                    random_state=42).fit(X)